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Record W7113288800

Exploring Who, Where, and When: A Mixed-Methods Analysis of a New Study Abroad Program

2025· article· W7113288800 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueDigitalCommons - CalPoly (California State Polytechnic University) · 2025
Typearticle
Language
FieldSocial Sciences
TopicInternational Student and Expatriate Challenges
Canadian institutionsnot available
Fundersnot available
KeywordsStudy abroadQuarter (Canadian coin)Academic programSurvey researchProgram evaluationTrend analysis
DOInot available

Abstract

fetched live from OpenAlex

Study abroad programs can have a significant impact on the lives of college students. These programs create opportunities for students to experience the world, while earning college credit. As Cal Poly is transitioning from the quarter system to the semester system, there is an increase demand for a new study abroad program that is tailored to students’ preferences. Understanding what students want from a study abroad program is extremely important. To better understand student preferences, a survey was created and distributed to Cal Poly students. The goal of the survey was to identify trends amongst students to get a better understanding of how to design a successful program The survey provided data on preferred program locations, durations, academic terms, and demographics. Results showed that most students interested in studying abroad were in their third or fourth year and preferred either full-semester or 8-week summer programs. Europe was the most popular destination, with high interest in countries such as Italy, Spain, Sweden, and Germany. These results will help Cal Poly CM program create a new study abroad program which has student buy-in and strong connections with providing them with real world construction experiences, thus providing a more meaningful experience for our students.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.809
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0040.007
Science and technology studies0.0010.001
Scholarly communication0.0000.001
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.056
GPT teacher head0.351
Teacher spread0.295 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it